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Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface

Brain-computer interfaces (BCIs), a new type of rehabilitation technology, pick up nerve cell signals, identify and classify their activities, and convert them into computer-recognized instructions. This technique has been widely used in the rehabilitation of stroke patients in recent years and appe...

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Detalles Bibliográficos
Autores principales: Sun, Xiaowei, Li, Mingyue, Li, Quan, Yin, Hongna, Jiang, Xicheng, Li, Hongtao, Sun, Zhongren, Yang, Tiansong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896931/
https://www.ncbi.nlm.nih.gov/pubmed/35252458
http://dx.doi.org/10.1155/2022/9935192
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author Sun, Xiaowei
Li, Mingyue
Li, Quan
Yin, Hongna
Jiang, Xicheng
Li, Hongtao
Sun, Zhongren
Yang, Tiansong
author_facet Sun, Xiaowei
Li, Mingyue
Li, Quan
Yin, Hongna
Jiang, Xicheng
Li, Hongtao
Sun, Zhongren
Yang, Tiansong
author_sort Sun, Xiaowei
collection PubMed
description Brain-computer interfaces (BCIs), a new type of rehabilitation technology, pick up nerve cell signals, identify and classify their activities, and convert them into computer-recognized instructions. This technique has been widely used in the rehabilitation of stroke patients in recent years and appears to promote motor function recovery after stroke. At present, the application of BCI in poststroke cognitive impairment is increasing, which is a common complication that also affects the rehabilitation process. This paper reviews the promise and potential drawbacks of using BCI to treat poststroke cognitive impairment, providing a solid theoretical basis for the application of BCI in this area.
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spelling pubmed-88969312022-03-05 Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface Sun, Xiaowei Li, Mingyue Li, Quan Yin, Hongna Jiang, Xicheng Li, Hongtao Sun, Zhongren Yang, Tiansong Biomed Res Int Review Article Brain-computer interfaces (BCIs), a new type of rehabilitation technology, pick up nerve cell signals, identify and classify their activities, and convert them into computer-recognized instructions. This technique has been widely used in the rehabilitation of stroke patients in recent years and appears to promote motor function recovery after stroke. At present, the application of BCI in poststroke cognitive impairment is increasing, which is a common complication that also affects the rehabilitation process. This paper reviews the promise and potential drawbacks of using BCI to treat poststroke cognitive impairment, providing a solid theoretical basis for the application of BCI in this area. Hindawi 2022-02-07 /pmc/articles/PMC8896931/ /pubmed/35252458 http://dx.doi.org/10.1155/2022/9935192 Text en Copyright © 2022 Xiaowei Sun et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Sun, Xiaowei
Li, Mingyue
Li, Quan
Yin, Hongna
Jiang, Xicheng
Li, Hongtao
Sun, Zhongren
Yang, Tiansong
Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface
title Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface
title_full Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface
title_fullStr Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface
title_full_unstemmed Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface
title_short Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface
title_sort poststroke cognitive impairment research progress on application of brain-computer interface
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896931/
https://www.ncbi.nlm.nih.gov/pubmed/35252458
http://dx.doi.org/10.1155/2022/9935192
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